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How to overcome common challenges in machine learning deployments

🚨 To read the full findings from this research, visit The Machine Learning State of Play 2024 white paper. Are the challenges of deploying machine learning (ML) overshadowing its true potential in the modern workplace? Through our recent white paper , we spoke to 500+ developers who have experience working with ML systems to gain an understanding of the pain points faced by developers when using ML solutions.

Introduction to Endpoint Management: Definition, Benefits, and Tools

Endpoint Management is so inherent to IT that it is canon in this industry, especially now that remote work is the new normal. Setting a robust system is paramount for any organization that relies on digital devices. These devices are connected to the corporate network and can access its resources, so the goal is to ensure that these devices are secure, compliant with company policies, and operating efficiently.

Ensure continuous delivery by monitoring Jenkins pipeline performance

Jenkins pipelines play a pivotal role in achieving continuous delivery in software development processes. Continuous delivery (CD) is a software delivery approach aimed at ensuring that code changes are systematically and automatically prepared for release to production. In modern software development practices, CD pipelines streamline the process of building, testing, and deploying software, enabling organizations to accelerate software delivery and provide value to its customers.

Tailored Azure cost savings notification and alerts

When an organization attempts to reduce costs immediately, one of its go-to options is to look into the Azure advisor recommendations and take action on them. However, the biggest challenge for many customers is that they often do not know there are saving insights available to take advantage of and reduce thousands of dollars per year in Azure bills. This is because of a few reasons, as defined below;
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JS Toolbox 2024: Runtime environments & package management

JavaScript remains the world's leading programming language, and with TypeScript now ascending to third most popular, JavaScript is bigger than ever! As a result, there's a bewildering range of tools on offer for JavaScript developers. And just as any durable structure needs a solid foundation, successful JavaScript projects rely heavily on starting with the right tools. This post, the first in our JS Toolbox 2024 series, explores the core pillars of the JavaScript & TypeScript ecosystem: Runtime environments, package management, and development servers.

SafetyDetectives: An Interview-With-Costa-Tsaousis

In a recent conversation with SafetyDetectives, Costa Tsaousis, CEO and founder of Netdata, shares insights into the inception and evolution of Netdata, a game-changing monitoring solution. With a background in fintech and a passion for real-time data processing, Tsaousis was driven to create Netdata in response to the significant gaps he identified in traditional monitoring tools.

xz Backdoor: What to Know + What to Do About the XZ Utils Vulnerability

The xz backdoor is a vulnerability in XZ Utils, a popular data compression library. The xz backdoor can let unauthorized users gain admin-level access to systems, endangering data security and much more. Read on to learn more about the xz backdoor, who’s affected, and what you can do now to find out if your systems are at risk.

The Evolution Of Cloud Cost Optimization Over The Last Decade

Over the past decade, the cloud computing landscape has transformed remarkably, evolving from a nascent technology into a fundamental component of modern digital infrastructure. As the technology has evolved, so too has the need to develop complex cost optimization strategies. A decade ago, businesses grappled with the complexities of brand-new cloud services, often facing challenges in managing costs due to opaque pricing models and a limited understanding of cloud economics.

Why and how to use site reliability golden signals

Software complexity makes it harder for teams to rapidly identify and resolve issues. IT service management has evolved from an afterthought to a central part of DevOps. Microservices architectures are prone to delay or missed identification of such concerns. Monitoring mechanisms need to keep up with these complex infrastructures. Maintaining reliability and performance while harnessing this complexity requires a considered, data-driven approach.

Do We Still Need to "Observe"? The Future of AI & O11y

AI has had a massive impact on every part of our lives, but mainly on how we consume large data sets easily. The observability world is based on collecting enormous amounts of data and consuming it by observing dashboards built on monitoring tools. Most of the o11y tasks like writing complex queries, creating dashboards & defining alerts, have been done much in the same way for the last decade & AI models are well-positioned to disrupt this modus operandi.